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Characteristic pyramid-based power grid defect depth identification patrol robot control system

A feature pyramid and defect depth technology, which is applied in the direction of instruments, alarms, inspection time patrols, etc., can solve the problems of poor robot safety and achieve the effect of protecting safety, avoiding robot damage, and ensuring safety

Pending Publication Date: 2022-07-29
XUANCHENG POWER SUPPLY COMPANY OF STATE GRID ANHUI ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: how to solve the existing robot control system, in the process of use, the effect of protecting the safety of the robot is relatively poor, which brings a certain impact on the use of the robot control system, and provides a feature pyramid-based In-depth identification and inspection robot control system for power grid defects

Method used

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  • Characteristic pyramid-based power grid defect depth identification patrol robot control system
  • Characteristic pyramid-based power grid defect depth identification patrol robot control system
  • Characteristic pyramid-based power grid defect depth identification patrol robot control system

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Embodiment Construction

[0039] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and provides a detailed implementation manner and a specific operation process, but the protection scope of the present invention is not limited to the following implementation. example.

[0040] like figure 1 As shown, this embodiment provides a technical solution: a power grid defect depth identification inspection robot control system based on a feature pyramid, including a battery information collection module, a robot information collection module, an inspection task import module, a power estimation module, and an image information collection module , image information analysis module, environmental information acquisition module and impact information acquisition module;

[0041]The battery information collection module is used to collect battery information of the inspection robot, the battery ...

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Abstract

The invention discloses a power grid defect depth identification patrol robot control system based on a feature pyramid. The system comprises a battery information acquisition module, a robot information acquisition module, a patrol task import module, an electric quantity estimation module, an image information acquisition module, an image information analysis module, an environment information acquisition module and an impact information acquisition module. The battery information acquisition module is used for acquiring battery information of the patrol robot, the battery information comprises battery rated total electric quantity information, battery total electric quantity information, battery remaining electric quantity information and battery temperature information, and the battery information is processed into battery warning information; the patrol task importing module is used for importing patrol task information, and the task information comprises patrol duration and patrol distance; the machine information acquisition module is used for acquiring unit power consumption information of the robot. According to the invention, the safety of the robot can be better protected while the robot can be stably controlled to inspect.

Description

technical field [0001] The invention relates to the field of robot management and control, in particular to a robot control system for deep identification and inspection of power grid defects based on feature pyramids. Background technique [0002] In recent years, power grid construction has experienced rapid development, and the number of substations has continued to grow. Limited by the characteristics of the power grid equipment, the defects of the power grid equipment are usually very small and difficult to distinguish, and the imaging environment is complex and diverse, which makes the accurate and efficient identification of the small defects in the power grid face a severe challenge, which has become a constraint for related applications to further meet the requirements. The bottleneck problem of actual demand. The inspection tasks of front-line personnel are increasingly heavy, which aggravates the contradiction between the number of personnel and the structure, an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C1/20G08B21/18G08B21/24
CPCG07C1/20G08B21/18G08B21/24
Inventor 陶雪峰程兰芳周宗学程登峰王军龙陶文欣汪雷谢清松董国威黄凤标
Owner XUANCHENG POWER SUPPLY COMPANY OF STATE GRID ANHUI ELECTRIC POWER